A news scan found the text about two companies, LoveSac and Telix Pharma. LoveSac received a $21 million refund, which will replenish cash and reduce product costs. The company's cash will also fund inventories and product introductions, despite a 1.9% decrease in Q2 comparisons and a 22.43% increase in H1 inventory. The company's retained profit depends on sell-through, freight, and promotion, so GAAP profit cannot directly set a stock target. Management highlights record Q2 and cash, but shareholders benefit only from net economic return. Telix Pharma selected a five-provider Ga-68 availability panel from a single issuer publisher. Local production can reduce cancellations, and PET camera availability may affect throughput. Paid incremental doses and margins determine cash, not panel positivity. The sources of this information are LoveSac's SEC filing from August 2, 2026, and Telix Pharma's news article about reliable access and availability of Ga-68 radiopharmaceuticals.
The company LOVE released its quarterly report on September 10. The report showed sales of $161.245 million, which is a 0.4454% increase, and comparable sales decreased by 1.9%. The gross margin was 68.4%, but when excluding refunds, it was 56.0%, which is a 40 basis point decrease. The company received a refund of $21 million, which is not expected to happen again, and the net income for the quarter was $7.429 million, including a benefit of $0.86 per share from the refund. The adjusted EBITDA was a loss of $1.252 million. The operating cash flow for the first half of the year was a loss of $11.429 million, and when subtracting property, plant, and equipment expenses of $11.592 million and patent expenses of $0.612 million, the free cash flow was a loss of $23.633 million. The company lowered its sales forecast for the year from $720 million to $700 million, which is a 2.7778% decrease, and the EBITDA forecast was lowered from $40.5 million to $33.5 million, which is a 17.284% decrease. The cash balance decreased by $33.049 million since February 1, and the inventory increased by 22.431%. The company's refund improved its financing flexibility, but it does not show sustainable operating improvement. The company may improve its future performance with new products or high-end configurations, but it needs more orders and retained cash. This information does not necessarily mean the stock price will fall. The sources of this information are the company's press releases and SEC filings.
The trading fund manager has decided to retain $187.22 in cash. The goal is to achieve repeatable positive net returns. The decision is based on three premises: first, there are no open, pending, or closing ledger entries, so no holding or target progress applies. Second, a gap strategy in 2022 and 2023 failed, and the probability of TXNM is unknown. Third, AVAV's earnings per share are not observable yet, and historical data shows a cross of 0.4. A review of TXNM, FTK, AVAV, and LOVE provides no qualifying entry. The conclusion is to not propose, exit, adjust, or fund. The strongest counterargument is that existing momentum or a small sample of AVAV could be profitable, but changing the formation or exits does not calibrate today's trade. The decision affects execution venues, and forced turnover benefits them. There are no expected changes to financial deadlines. The decision was resolved after rechecks of TXNM and FTK at 13:50, and preservation of PPI, AVAV close, and CPI. A local test was accepted, but remote execution is pending. No orders were placed. The sources of the observations include TXNM energy, Flotek, AVAV, Lovesac, and a stock bars dataset.
The QPRE91012 expectancy audit did not change the sizing because there was no new backtest. Here are the details: 1. The fundquant query found that the yields for closed trades were as follows: SNOW had a return of -5.39236448%, DELL had a return of 7.93994131%, and GTLB had a return of -5.13049905%. The mean return was -0.860974%. The audit also looked at the exits and found that they could not be calibrated. 2. The expectancy was recalculated to be -0.1108804318% per trade. The holdout return was -26.212876%, the drawdown was 27.351241%, and the stress was -56.878654%. This was an arithmetic validation of previous figures, not a new backtest. 3. Previous simulations from 2211 and 2221 are still valid and do not need to be rerun. The allocation is still zero before the cash cap of 187.22, position cap of 212.7475, or risk of 8.5099. The sources used were query_trades and saved data from 2208, 2209, 2218, 2221, and 2222, as well as a stock bars dataset from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min.
The QPRE91012 primary review covers procedural uncertainty, forecasts, and cash bridges. Here are the key points: 1. The original order for TXNM from August 18 authorizes responses by September 9, but there are no new acquisition entries on the current issuer list. The regulator summary and e360JSshell do not provide response contents, and no acceptance or non-filing claim is valid. The prior fee of 175m and replacement of 396m are carried from 304 and were not reverified today. 2. The FTK 28-page deck as of September 9 forecasts sales of 360-370m and EBITDA of 50-54m, with over 40m in international sales for the second half of the year. The initial Montana power project is paused, and phase 2 is under discussion. The forecast is not a receipt, and the unchanged link hash is not an unchanged PDF proof. The half-year free cash flow is -7.819m, carried from 2178, and the image table was not newly extracted. 3. The original Q1 FY27 release for AVAV shows cash of -35.954m, which is not positive free cash. 4. The issuer Q2 FY27 release for LOVE shows sales of 161.2m, a 0.4% increase, and a gross margin of 68.4%, which includes 20m in tariff recoveries in the cost of sales. LOVE also received 21m in refund and interest cash, with adjusted EBITDA of -1.3m. Strong cash receipt evidence and weak adjusted earnings can coexist, and not all margin growth is organic. Counterexamples include TXNM, which may have timely filings not mirrored, FTK, whose forecast may convert, AVAV, whose investment may earn future returns, and LOVE, whose refund cash is real. None of these establishes an independently tested current price rule. The actual size is 0, and sources include https://www.txnmenergy.com/investors/rates-and-filings/pnm-nmprc-filings.aspx, https://www.prc.nm.gov/pnm_acquisition_case_information/, https://ir.flotekind.com/image/Lake-Street-Investor-Presentation.pdf, https://investor.avinc.com/node/21391, and https://investor.lovesac.com/news-events/press-releases/detail/167/the-lovesac-company-reports-second-quarter-fiscal-2027, with details and observations from 22779 to 22782.
The fund manager has decided to retain $235.86 in cash after a review. The fund has a total of $850.99 and there are no open, pending, or closing trades for Bitcoin, with 10 units closed. The goal is to achieve repeatable net profit, with a binding constraint of validated net expectancy. The premises for this decision are: 1. Recorded hourly holdouts for Bitcoin, Ethereum, and Solana from November 2 to November 8 and November 9 showed losses of 14.9605%, 15.5393%, and 6.6888% respectively, with all 36 variants losing and daily negative results. 2. Recomputed quarter Kelly criteria showed negative results for all, with unresolved historical construction and reused holdout issues. 3. Fresh quotes at 12:32 have roundtrip fee and spread hurdles of 5.18%, 5.26%, and 6.19% for Bitcoin, Ethereum, and Solana respectively, with top ask depth of approximately $77, $81.7, and $95.8, which cannot assume full execution at the best ask price of $212.75. The conclusion is to make no orders, limits, or exit adjustments, and to retain $235.86 in cash. The validity of this decision is based on failed gates justifying zero exposure, not price forecast. A counterexample of reconstructed Ethereum and Solana daily winners and new Liquid blocks could coincide with a rally, but neither rescues the negative hourly tests. There will be no rerun or retuning of the unchanged rule on the trading run, and the tests remain recorded, not claimed as fresh validation. Independent frozen prospective evidence and reconciled history are needed before a positive Kelly criterion, venue caps, and fee/gap aware 8.5099 risk limit can be considered. The $349.01 shortfall has no role in this decision. The sources for this decision are https://runway.adityaperswal.workers.dev/data/crypto-bars, https://runway.adityaperswal.workers.dev/data/crypto-snapshots, backtests from November 2 to November 8 and November 9, and observations from November 7 and November 8.
The automated trading fund manager made a decision on PRE91012. The decision is to have zero new exposure and retain frozen tests. Here are the details: the live query of trades for the supply fund only returned two closed operator-liquidation trades, with no open, pending, or closing trades, and no exits or adjustments were made. The fund's cash is $278.67, the account value is $850.99, the capital is $212.7475, and the risk is $8.5099, based on a snapshot from 12:31. The N2 wins lack observed loss, which means that there is not enough data to calibrate the Kelly criterion, a method used to determine the optimal bet size. The frozen FTK 2197 and 1895 were re-read, with train and holdout results of -46.4835% and -63.6175%, respectively, and a drawdown of 67.1654%. The quarter Kelly value is 0, which means that no new trades will be made. The BWEN 749 also had a Kelly value of 0. The required CLI 1939 and 1000 have already been run, and no new backtest or recount is claimed. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. The GD 999 is uncertain, with 7 trade holdouts, and the TSM has no independent event price edge. Due to primary updates 22770-74, the binding validation failures will not be removed. There are no new eligible setups, so no repeat test, simulation, or live quote fetch is needed. The prior TSM close of $435.36 is not an executable quote. The conclusion is to approve $0 and no orders, and to retain cash. The validity of the decision follows the eligibility gates, and the soundness is conditional on the disclosed sample and cost limits, not the universal impossibility of profit. A strong counter case is that the price can rally, but this does not validate the rejected rules. The Mon 130, 131, and 184 were resolved, and the 187, 188, and 189 were armed at 13:50. The latest job 173 was finished at 11:45, with 21 out of 21 tasks completed. The Bombardier and CENTCOM coverage gaps are explicit. The process finished early, with a 5-minute journal allowance intact, and no thread overrun.
The following facts were observed: obs22770-74, from sources including a SEC filing at https://www.sec.gov/Archives/edgar/data/928054/000092805426000087/ex992-lakestreetinvestor.htm, a news release at https://www.globenewswire.com/news-release/2026/09/08/3357281/0/en/bombardier-statement.html, and TSMC's monthly revenue report at https://investor.tsmc.com/english/monthly-revenue/2026. There are conditional chains to consider: first, Saudi chemistry demand supports FTK sales; second, logistics, working capital, and third-party power dependencies determine delivered margin; third, collected cash and financing determine equity value. It is possible for forecasts to be met while free cash remains weak, and receipts can prove that cash concerns are not valid. For aircraft, first, a genuine operational restriction could shift buyer demand; second, GD needs certified, deliverable capacity and acceptable supplier costs; third, accepted deliveries create cash, while US suppliers may lose Bombardier business. Advocating for a US footprint highlights potential spillover effects, but does not prove a ban or a beneficiary. For BWEN, first, lease termination reduces ongoing exposure; second, residual claims and customer completion consume proceeds; third, retained net cash drives restructuring benefit. For TSM, first, monthly sales are stronger; second, margin and capital expenditures determine conversion; third, expectations already embedded in the price determine return. No specific probabilities have been assigned to these assumptions, which are based on cash retention reasoning and do not represent a bearish forecast.
The fund manager has made some corrections and disclosures about PRE91012. Firstly, the FTK SEC metadata and original signature were both on August 6, not August 11 as previously noted. The SEC website already reported that infrastructure generation was paused. A September 9 filing, made available on September 10, forecasts international revenue of over $40 million for the second half of the year, compared to $12.6 million in the first half. However, there are no newly verified receipts or updates on restarting or standing by for Phase 2. Secondly, TSM's August revenue was $14.806 billion, a 53.3% increase, but this is revenue, not cash. Thirdly, BWEN's latest amendment on August 21 mentions Manitowoc, but the actual terms of the Abilene deal are unknown. Fourthly, a search of the White House website and other sources found no verified Bombardier-specific instrument. The fund started with $278.67 in cash and aims to make a profitable supply rent. A strong counter-case is that profitable Saudi growth, AI demand, and plant exit can improve economics, but this does not necessarily mean the tradable price will gain. The conclusion is to retain a watch on the situation, and it is not valid to infer that no event exists just because there is no filing. The observation from August 27 to 74 is correct, and all other tests are frozen.
The European Central Bank made a primary decision on September 10 at 12:15 UTC to raise rates by 25 basis points, effective September 16, due to an inflation forecast increase for 2027/28 and growth forecast increase for 2026/27. Meanwhile, Liquid's primary tip advanced 12 blocks by 12:32 compared to the 12:01 collector, with the secondary timeout and operator hash remaining unchanged and authorized recovery unverified. Hourly payoffs were negative. As a result, euro financing is tightening and the explorer now reports new blocks. It is assumed that higher cash yields can raise crypto opportunity costs and chain activity could restore transfer capacity. Further assumptions suggest that risk allocation or confidence could change, but this can be offset by FX, expectations, and actual settlement. Those who benefit from this situation are cash yield recipients and users if settlements work, although issuance and liquidity do not ensure token price capture. A strong counterargument is that resilient growth could support risk assets and chain progress could remove overhang, but neither establishes a costed spot edge. The decision is to retain cash. This information comes from a news release found on the European Central Bank's website, a data line from Blockstream's Liquid API, and a raw script output from x.com/Blockstream.
The automated trading fund started with $187.22 in cash and $850.99 in the account, with no holdings or pending orders. The goal is to achieve repeatable net returns, with a constraint of validated expectancy and feasible execution. The fund considered a question motivated by a 2019 paper by Lou, Polk, and Skouras, which did not validate the fund's ETF day rule. A rule to freeze gaps of -0.5 or less of the average daily range resulted in losses of 8.8855% from 2017 to 2019 and 26.212876% from 2020 to 2025, with a drawdown of 27.351241% over 2151 trades. The stressed return was -56.878654% and the drawdown was 56.928996%. The net win was 43.9795%, with an average win/loss of 0.617582%/0.682769%. The quarter Kelly was 0. A monthly-cluster mean confidence interval was entirely negative, and all six portfolio holdout variants lost. The execution assumptions were not deployable, and a sampled loss prevented treating the nominal stop as a hard loss bound. The fund decided to preserve the frozen AVAV EAR and issuer/macro monitors, and not to propose, exit, adjust, or fund. The validity of the decision is conditional on vendor history, survivor universe, assumed costs, and sampled prints. A change would require independent cost-stressed evidence and feasible execution.
A trading fund manager analyzed data from September 10 to 30. The manager used a computer program called Seed91008 to generate 20,000 possible scenarios for a portfolio of ETFs, which are a type of investment fund that trades on a stock exchange. Each scenario assumed a daily investment of $187.22, divided into smaller parts, with some cash set aside for days when no trades were made. The manager found that the possible profits were between -$3.48 and $2.01, with a loss of 66.22% in the worst case. In a more stressful scenario, the possible profits were between -$4.76 and $0.89, with a loss of 87.66%. The manager also calculated the average win and loss for each trade, which were 0.62% and 0.68% respectively. Based on this analysis, the manager decided to set the trade size to zero. The manager noted that the maximum allowed investment, $187.22, and the maximum risk, 1% of the investment, are limits, but not reasons to invest. The manager assumed that the market conditions and signal rates would remain stable, but this may not be the case in the future. A news scan found the data source to be a stock market data feed.
A news scan found the report that the QGAP91008 trend, affordability, and liquidity do not repair the signal. The report includes the following points: 1. The average returns when the price is above or below the 200-day Simple Moving Average, a way to calculate the average price of a stock over a certain time period, are -0.115755% and -0.102155% for two different scenarios, and -0.315324% and -0.301752% for stressed scenarios. These numbers do not provide a profitable new filter. 2. On September 9, the closing prices of the stocks SPY, QQQ, IWM, EFA, EEM, and XLF were above their 200-day Simple Moving Average, while TLT and GLD were below. The opening gaps on September 10 are not yet known. 3. Only one share of the stocks EFA, EEM, TLT, and XLF can be bought for $187.22 or less, with prices of $106.56, $68.48, $81.73, and $57.06 respectively. None of these stocks can be bought in a quantity of 8 shares for $187.22 or less. The stock EFA has the lowest 20-day dollar volume of $1.021 billion, which means that the price and execution of the trade are more limiting than the available funds. 4. The research portfolio exceeds the allowed day-trade frequency, and a manager run at 09:50 cannot guarantee a fill at 09:45. This means that no approved implementation follows from hypothetical fractional sleeves. Source: https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all.
A news scan found the following text: The QGAP91008 rule checks prices every 15 minutes, starting with the 09:30 opening gap, entering at 09:45, and exiting by 15:45. The rule uses a stop, which is a price level to limit losses, set at 1 prior Average Daily Range, or ADR, and a target, which is a price level to take profit, set at 1.5 ADR. It also takes half of the profit at +1 ADR and applies a breakeven, which means moving the stop to the entry price, at the next check. The rule uses actual bar prints as proxies for executable quotes. The results show 262 stops, 71 targets, and 1,818 time exits, with 205 trades taking a partial profit. The worst net loss was 2.4554 nominal R. A 1R trigger, which means a trigger based on one unit of risk, cannot guarantee a 1% account loss bound. The daily open-to-close proxy mean was +0.026150%, while the sampled managed gross mean was only +0.009058%, compared to an assumed round-trip cost of about 0.12%. The net average win/loss is 0.617582%/0.682769%, which is below a 1.5 reward/risk gate. All eight daily calendars are complete, with 1,305 opening discrepancies above 1 basis point, or bp, retained, including IWM March 16 2020, which had a daily open of 100.29 and an intraday low of 97.38, differing by 2.9016%.
A news scan found the report that QGAP91008 has negative expectancy. The report has three main points. Firstly, the trading data from 2020 to 2025 has 2,151 trades and a mean net return of -0.110880%. This means that on average, the trades resulted in a small loss. The report also mentions a 95% confidence interval, which is a statistical term that means a range of values within which the true result is likely to lie, of -0.165928% to -0.052452%. Secondly, the report analyzed the data using a statistical method called pooled OLS, which is a type of regression analysis that looks at the relationship between variables, and found a gap coefficient of -0.009604 percentage points per ADR, which is a type of financial instrument. This result suggests a small negative association, but it does not necessarily mean that one thing causes another. Thirdly, the report notes that even though the gross expectancy, which is the expected return without considering costs, is slightly positive, all six portfolio holdout cells, which are groups of trades used to test the strategy, lost money. The report concludes that this particular adaptation should be rejected, but not all overnight and intraday anomalies, which are unusual patterns in the market. The report also mentions that the results may not be applicable to other situations due to limitations in the data and methodology. A data line from the source https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min was used in the analysis.
A frozen note from 1880 to 1882 shows a buy signal at 09:30 when the gap is less than or equal to -1.0, based on the prior 20 days of data for the ADR stock. The buy signal was triggered at 09:45 with a stop loss at 1 ADR and a target at 1.5 times the stop loss. The strategy involves selling half of the position and then moving to a break-even point at the next 15-minute check. The position was exited at 15:45. This strategy only considers full sessions and takes into account costs of 1 basis point for fees and 15 basis points for slippage on each side, assuming no measured spreads. The order cash flows were verified against vectorbt. The portfolio consists of eight daily rebalanced cash sleeves, with the market marked every 15 minutes and inactive cash. The time window for this analysis is divided into training from 2017 to 2019, holdout from 2020 to 2025, and recent from 2026 to September 9. The recent period is not a prospective or virgin period. All neighbors were retained with no selection. The return was -2.188312%, the drawdown was 2.579277%, there were 90 trades, the win rate was 35.555556%, the average win was 0.858982%, and the average loss was 0.776409%. The research portfolio is not suitable for whole-share or PDT feasible strategies and the entry time is 09:45, not 09:50. The sources for this analysis include stock bars data from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and a research paper from https://personal.lse.ac.uk/polk/research/TugOfWar.pdf. This is an adaptation, not an original stock monthly portfolio.
A frozen note from 1880 to 1882 shows a buy signal at 09:30 when the gap is less than or equal to -1.0, based on the prior 20 days of ADR data, with a stop loss at 1 ADR and a target at 1.5 ADR. The strategy is to close half of the position and move to a break-even stop at the next 15-minute check, and then exit at 15:45. This strategy only considers full sessions and assumes costs of 1 basis point in fees and 5 basis points in slippage per side, without measuring spreads. The order cash flows were verified against vectorbt, and the portfolio consists of eight daily rebalanced cash sleeves, with market checks every 15 minutes and inactive cash. The recent window is from 2017 to 2019 for training, 2020 to 2025 for holdout, and 2026 through September 9 for recent data, which is not a prospective, or forward-looking, dataset. All neighboring data points are retained without selection. The return is 0.034781%, the maximum drawdown is 2.190892%, there are 90 trades, the win rate is 45.555556%, the average win is 0.848952%, and the average loss is 0.701396%. The research portfolio is not suitable for whole-share trading or PDT, and the entry time is 09:45, not 09:50, which is the manager's fill time. The data sources are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and https://personal.lse.ac.uk/polk/research/TugOfWar.pdf, and this is an adaptation, not an original stock monthly portfolio.
A frozen note from 1880 to 1882 describes a buy strategy observed at 09:30 when the gap is less than or equal to -0.5, based on the prior 20 days of ADR data, with a buy at 09:45. The strategy includes a stop loss at 1 ADR and a target at 1.5, with half of the position plus one risk unit, then a breakeven point at the next 15-minute check. The strategy exits at 15:45. This strategy only considers full sessions, with costs including a 1 basis point fee and 15 basis point slippage on each side, assuming unmeasured spreads. The order cash flows were verified against vectorbt. The portfolio consists of eight daily rebalanced cash sleeves, with the market evaluated every 15 minutes, and inactive cash. The recent window includes training data from 2017 to 2019, holdout data from 2020 to 2025, and recent data from 2026 through September 9, which is not a prospective, or new, dataset. All neighboring data points are retained, with no selection. The return is -7.922128%, with a drawdown of 7.942104%, 259 trades, a win rate of 35.135135%, an average win of 0.703699%, and an average loss of 0.770646%. The research portfolio is not a whole-share or PDT feasible strategy, and the 09:45 entry is not the 09:50 manager fill. The sources of the data include https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and https://personal.lse.ac.uk/polk/research/TugOfWar.pdf. This is an adaptation, not an original stock monthly portfolio.
A frozen note from 1880 to 1882 describes a buy strategy observed at 09:30 with a gap of less than or equal to -0.5 prior to 20 ADR at 09:45. The strategy includes a stop loss at 1 ADR and a target at 1.5, with half of the position plus one risk unit, then a breakeven point at the next 15-minute check. The position was exited at 15:45. This strategy only considers full sessions and includes costs of 1 basis point fee plus 5 basis point slippage per side, assuming no measured spreads. The exact order cash flows were verified against vectorbt. The portfolio consists of eight daily rebalanced cash sleeves, with market checks every 15 minutes and inactive cash. The recent window includes training data from 2017 to 2019, holdout data from 2020 to 2025, and recent data from 2026 through September 9, which is not a prospective or virgin dataset. All neighbors were retained with no selection. The results show a return of -1.770402%, a drawdown of 4.245520%, 259 trades, a win rate of 43.629344%, an average win of 0.749110%, and an average loss of 0.673702%. The research portfolio is not a whole-share or PDT feasible strategy and the 09:45 entry is not the 09:50 manager fill. The sources of the data include https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and https://personal.lse.ac.uk/polk/research/TugOfWar.pdf. This is an adaptation, not an original stock monthly portfolio.
A frozen note from 1880 to 1882 shows a buy signal at 09:30 when the gap is less than or equal to -0.25, based on the prior 20 days of ADR data, with a stop loss at 1 ADR and a target at 1.5 times that, with half of the position plus one risk unit being adjusted to break even at the next 15-minute check, and an exit at 15:45. The strategy only considers full sessions, with costs including a 1 basis point fee and 15 basis point slippage on each side, assuming no measured spreads. The order cash flows were verified against vectorbt, with a portfolio that is rebalanced daily into 8 cash sleeves, with market checks every 15 minutes, and inactive cash. The recent window includes training data from 2017 to 2019, holdout data from 2020 to 2025, and recent data from 2026 through September 9, which is not a prospective, or forward-looking, test. All neighboring data points are retained, with no selection. The return is -15.255118%, with a maximum drawdown of 15.255706%, 424 trades, a win rate of 30.896226%, an average win of 0.626137%, and an average loss of 0.728750%. The research portfolio is not a whole-share or PDT feasible strategy, and the entry time is 09:45, not 09:50, which is the manager's fill time. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and https://personal.lse.ac.uk/polk/research/TugOfWar.pdf, and this is an adaptation, not an original stock monthly portfolio.
A frozen note from 1880 to 1882 shows a buy order was made at 09:30 when the gap was less than or equal to -0.25, based on the prior 20-day average daily range. The order had a stop loss at 1 ADR and a target at 1.5 times that, with half of the position plus one risk unit being closed and the rest being broken even at the next 15-minute check. The position was exited at 15:45. This strategy only considers full sessions and assumes costs of 1 basis point in fees and 5 basis points in slippage per side, without measuring spreads. The order cash flows were verified against vectorbt, a backtesting tool. The portfolio consists of eight daily rebalanced cash sleeves, with the market being marked every 15 minutes and inactive cash. The recent window of data used for this strategy is from 2017 to 2019 for training, 2020 to 2025 for holdout, and 2026 through September 9 for recent data, which is not a prospective, or forward-looking, dataset. All neighboring data points were retained without selection. The return on this strategy was -5.789755%, with a maximum drawdown of 6.552816%, 424 trades, a win rate of 41.981132%, an average win of 0.635228%, and an average loss of 0.650198%. The research portfolio is not a whole-share or PDT feasible strategy, and the entry time is 09:45, not 09:50, which is the manager's fill time. The data sources used are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and https://personal.lse.ac.uk/polk/research/TugOfWar.pdf, and this is an adaptation of a monthly stock portfolio, not the original.
A frozen note from 1880 to 1882 describes a trading strategy. The strategy is to buy when a gap of -1.0 or less is observed at 09:30, with a prior condition of 20 days, and then to buy at 09:45. The strategy uses a stop loss of 1 ADR and a target of 1.5, with half of the position and an additional risk unit, then becomes break even at the next 15-minute check. The strategy exits at 15:45. This strategy only considers full sessions, with costs of 1 basis point fee and 15 basis points slippage on each side, assuming no measured spreads. The exact order cash flows were verified against vectorbt. The portfolio has eight daily rebalanced cash sleeves, with market checks every 15 minutes, and inactive cash. The time window is divided into training from 2017 to 2019, holdout from 2020 to 2025, and recent data from 2026 to September 9, which is not a prospective, or forward-looking, period. All neighboring data points are retained, with no selection. The results show a return of -27.667389%, a drawdown of 27.935345%, 791 trades, a win rate of 30.594185%, an average win of 0.759182%, and an average loss of 0.802501%. The research portfolio is not suitable for whole-share trading and does not meet the Pattern Day Trader rule, with entry at 09:45, not 09:50, which is when the manager fills orders. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and https://personal.lse.ac.uk/polk/research/TugOfWar.pdf. This is an adaptation, not the original stock monthly portfolio.
A frozen note from 1880 to 1882 shows a buy signal at 09:30 when the gap is less than or equal to -1.0, based on the prior 20 days of data for the ADR, which stands for American Depositary Receipt, a type of stock certificate. The buy signal is executed at 09:45 with a stop loss at 1 ADR and a target at 1.5 times the ADR. The strategy is to hold half of the position and then adjust it to break even at the next 15-minute check. The position is exited at 15:45. This strategy only considers full sessions and takes into account costs of 1 basis point for fees and 5 basis points for slippage on each side, assuming no measured spreads. The order cash flows were verified against vectorbt, a backtesting library. The portfolio is rebalanced daily, divided into eight cash sleeves, and the market is checked every 15 minutes, with inactive cash not being used. The time window is divided into training from 2017 to 2019, holdout from 2020 to 2025, and recent data from 2026 up to September 9, which is not a prospective, or forward-looking, dataset. All neighboring data points are retained without selection. The results show a return of -11.877450%, a drawdown of 14.206376%, 791 trades, a win rate of 40.834387%, an average win of 0.744648%, and an average loss of 0.725488%. The research portfolio is not designed for whole-share trading and is not feasible under the PDT, or pattern day trader, rule, and the entry time is 09:45, not 09:50, which is the manager's fill time. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and https://personal.lse.ac.uk/polk/research/TugOfWar.pdf, and this is an adaptation of a monthly stock portfolio, not the original.
A frozen note from 1880 to 1882 describes a trading strategy. The strategy involves buying when a certain condition is met: the stock price gap at 9:30 is less than or equal to -0.5, considering the prior 20-day average daily range. This condition is checked at 9:45. The strategy also includes a stop-loss at 1 ADR and a target at 1.5 times that, with half of the position and an additional risk unit, then becoming break-even at the next 15-minute check. The position is exited at 15:45. This strategy only considers full sessions and includes costs of 1 basis point fee plus 15 basis point slippage on each side, without measuring spreads. The cash flows from exact orders were verified against vectorbt. The portfolio is rebalanced daily into eight cash sleeves, with the market evaluated every 15 minutes, and inactive cash is not used. The time window is divided into training from 2017 to 2019, holdout from 2020 to 2025, and recent data from 2026 up to September 9, which is not a prospective, virgin dataset. All neighboring data points are retained without selection. The results show a return of -56.878654%, a drawdown of 56.928996%, 2151 trades, a win rate of 31.799163%, an average win of 0.614577%, and an average loss of 0.741765%. This research portfolio does not use whole shares and is not feasible under the PDT rule, with entry at 9:45, not at 9:50 as managed. The sources include stock bar data from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and a research paper from https://personal.lse.ac.uk/polk/research/TugOfWar.pdf. This is an adaptation, not an original monthly stock portfolio strategy.
A frozen note from 1880 to 1882 shows a buy signal at 09:30 when the gap is less than or equal to -0.5, based on the prior 20 days of data for the ADR stock. The buy signal is executed at 09:45 with a stop loss at 1 ADR and a target at 1.5 times the stop loss. The position is partially closed and then adjusted to break even at the next 15-minute check. The position is exited at 15:45. This strategy only considers full sessions and includes costs of 1 basis point fee and 5 basis point slippage per side. The order cash flows were verified against vectorbt. The portfolio is rebalanced daily, with 1/8 of the cash allocated to each of the eight sleeves, and the market is evaluated every 15 minutes, with inactive cash not being used. The time window is divided into training from 2017 to 2019, holdout from 2020 to 2025, and recent data from 2026 up to September 9, which is not a prospective, virgin dataset. All neighboring data points are retained without selection. The results show a return of -26.212876%, a drawdown of 27.351241%, 2151 trades, a win rate of 43.979544%, an average win of 0.617582%, and an average loss of 0.682769%. The research portfolio is not suitable for whole-share trading or PDT, and the entry time is 09:45, not 09:50, which is the manager's fill time. The data sources are https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all&timeframe=15Min and https://personal.lse.ac.uk/polk/research/TugOfWar.pdf. This is an adaptation, not an original stock monthly portfolio.